Brian A. Telfer
Impact in
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- Ultrasound in Clinical Applications
- Health Informatics top 5%
Papers in
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- Neural Networks and Applications 18
- Neural Networks and Reservoir Computing 6
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- Non-Invasive Vital Sign Monitoring 6
- Co-authors
- Laura J. Brattain (13 shared papers)Harold Szu (18 shared papers)Anthony E. Samir (7 shared papers)Manish Dhyani (3 shared papers)Joseph R. Grajo (3 shared papers)David Casasent (15 shared papers)Andrew S. Liteplo (1 shared paper)Vicki E. Noble (1 shared paper)
- Journals
- Neural Networks (5 papers)Biosensors (2 papers)IEEE Open Journal of Engineering in Medicine and Biology (2 papers)Optical Engineering (2 papers)Telematics and Informatics (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Brian A. Telfer
60 papers receiving 810 citations
Peers
Comparison fields: 5 of 111
- Critical Care and Intensive Care Medicine 84
- Health Informatics 23
- Computer Vision and Pattern Recognition 159
- Artificial Intelligence 235
- Signal Processing 77
Countries citing papers authored by Brian A. Telfer
This map shows the geographic impact of Brian A. Telfer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian A. Telfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian A. Telfer more than expected).
Fields of papers citing papers by Brian A. Telfer
This network shows the impact of papers produced by Brian A. Telfer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian A. Telfer. The network helps show where Brian A. Telfer may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian A. Telfer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 183 | |
| 2 | 1996 | 62 | |
| 3 | 2018 | 61 | |
| 4 | 2013 | 58 | |
| 5 | 2024 | 41 | |
| 6 | 2021 | 40 | |
| 7 | 2021 | 28 | |
| 8 | 1994 | 25 | |
| 9 | 1993 | 25 | |
| 10 | 1992 | 23 | |
| 11 | 2018 | 21 | |
| 12 | 1994 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 1990 | 19 | |
| 15 | 1992 | 19 | |
| 16 | 1993 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 1989 | 15 | |
| 19 | 2019 | 12 | |
| 20 | 2019 | 12 |
About Brian A. Telfer
Brian A. Telfer is a scholar working on Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, having authored 63 papers that have together received 835 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Image and Signal Denoising Methods (8 papers), Non-Invasive Vital Sign Monitoring (6 papers), Neural Networks and Reservoir Computing (6 papers), Advanced Memory and Neural Computing (5 papers), Blind Source Separation Techniques (5 papers), Underwater Acoustics Research (5 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (84 citations), Health Informatics (23 citations), Computer Vision and Pattern Recognition (159 citations), Artificial Intelligence (235 citations) and Signal Processing (77 citations). Brian A. Telfer has collaborated with scholars based in United States and Canada. Frequent co-authors include Laura J. Brattain, Harold Szu, Anthony E. Samir, Manish Dhyani, Joseph R. Grajo, David Casasent, Andrew S. Liteplo, Vicki E. Noble, Arjun Majumdar and Jonathan Scalera. Their work appears in journals such as Neural Networks, Biosensors, IEEE Open Journal of Engineering in Medicine and Biology, Optical Engineering and Telematics and Informatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.